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AI Software Engineer (AWS Bedrock)

Формат работы
hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Kosovo
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Software Engineer (AWS Bedrock): Building shared AI platform infrastructure including a model gateway, access control, audit logging, knowledge retrieval, and evaluation systems with an accent on production reliability, security, and observability. Focus on designing distributed services, grounding agents in company data, and enabling teams to ship AI capabilities through reusable platform components.

Location: Prishtina, Kosovo; office-based or hybrid options available

Company

Builds shipment visibility technology that helps customers reduce delays, rejected loads, theft, damage, and spoilage across road, rail, ocean, and air transportation.

What you will do

  • Design, build, and operate a shared model gateway on AWS Bedrock with routing, model selection, quotas, cost controls, and observability.
  • Develop common platform services for authentication, role-based access control, and audit logging.
  • Build the knowledge layer for ingestion, chunking, retrieval, and freshness across documentation, product data, and support history.
  • Create evaluation harnesses, regression suites, tracing, and monitoring for agent quality, cost, and latency.
  • Partner with Customer Portal, Service Desk, and CRM teams to embed AI capabilities on shared infrastructure.
  • Set reusable engineering patterns, libraries, documentation, and operational practices; review code and designs and troubleshoot production issues.

Requirements

  • Bachelor of Science in Computer Science or equivalent experience.
  • Experience with web application development and distributed-system architecture, design, and development.
  • Professional experience with one or more general-purpose languages, including Python, C/C++, C#, Java, Node, Go, or Ruby.
  • Hands-on experience building production LLM systems using retrieval-augmented generation, tool and function calling, and agent orchestration.
  • Working knowledge of AWS, ideally including Bedrock or a comparable managed model service.
  • Experience implementing authentication, authorization, and role-based access control across multiple applications, plus integrating SaaS business systems through APIs.

Nice to have

  • Experience with vector search and retrieval infrastructure.
  • Experience with data pipelines or internal platforms and developer experience.

Culture & Benefits

  • Autonomy and resources to build production solutions.
  • Office-based or hybrid work options.
  • Collaboration with a global team focused on transparency, simplicity, ownership, and continuous improvement.
  • Competihirify.global equity participation.
  • Inclusive, diverse, and respectful work environment.

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